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Advancing AI Audit - Project Showcase and Lessons Learned | Stanford HAI
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eventLecture

Advancing AI Audit - Project Showcase and Lessons Learned

Status
Past
Date
Tuesday, June 27, 2023 9:00 AM - 11:15 AM PST/PDT
Location
Virtual 

How can we effectively design and develop practical tools to assess the presence of bias and potential discrimination in AI systems?

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Event Contact
Daniel Zhang
dzhang105@stanford.edu

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Last August, HAI and Cyber Policy Center launched the AI Audit Challenge, an initiative that invited teams from around the world to submit their models, solutions, and tools with the goal of improving our ability to evaluate AI systems. This event spotlights the four award-winning entries, featuring insightful discussions from participants and AI experts on effective practices and valuable lessons learned from the Challenge. 

Agenda

9:00a.m. - 9:05a.m. PDT

Opening Remarks 

Speakers

Marietje Schaake

HAI International Policy Fellow; International Policy Director, Cyber Policy Center, Stanford University

Rumman Chowdhury

Responsible AI Fellow, Berkman Klein Center for Internet & Society, Harvard University

Section 1: Project Showcase and Discussion

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Award for the Greatest Potential

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Neal Lathia

Monzo Bank, UK

9:15a.m. - 9:25a.m. PDT

Award for Most Promising for Auditing LLMs

Ceteris Paribus

Speakers

Edward Chen

Stanford University

9:25a.m. - 9:35a.m. PDT

Award for Most Innovative and Empowering to the Public

End-User Audits

Speakers

Michelle S. Lam

Stanford University

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Award for Best Holistic Evaluation and Benchmarking

HateCheck

Speakers

Paul Röttger

University of Oxford

Hannah Rose Kirk

University of Oxford

Bertie Vidgen

University of Oxford

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Panel Discussion

Moderated panel discussion

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Marietje Schaake

HAI International Policy Fellow; International Policy Director, Cyber Policy Center, Stanford University

Section 2: Best Practices and Lessons Learned

10:15a.m. - 11:15a.m. PDT

Panel Discussion

Moderated panel discussion

Speakers

Abhishek Gupta

Founder and Principal Researcher, Montreal AI Ethics Institute

Gillian Hadfield

Schwartz Reisman Chair in Technology and Society, Professor of Law and Professor of Strategic Management. CIFAR AI Chair. Director, Schwartz Reisman Institute for Technology and Society

William Issac

Staff Research Scientist, DeepMind's Ethics and Society Team

Danaë Metaxa

Raj & Neera Singh Assistant Professor, Computer & Information Science, University of Pennsylvania

Moderators

Rumman Chowdhury

Responsible AI Fellow, Berkman Klein Center for Internet & Society, Harvard University

Event Organizers
Rumman Chowdhury
Director of ML EThics, Transparency, and Accountability, Twitter
Marietje Schaake
International Policy Fellow, Stanford HAI
Daniel Zhang
Chief of Staff

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